Basic Statistics and Data Mining for Data Science

Basic Statistics and Data Mining for Data Science, available at $49.99, has an average rating of 4.3, with 25 lectures, 7 quizzes, based on 35 reviews, and has 211 subscribers.

You will learn about Get familiar with the basics of analyzing data Exploring the importance of summarizing individual variables Use inferential statistics Know when to perform the Chi-Square test Differentiate between independent and paired samples t-tests Understand when to use a one-way ANOVA and post-hoc tests Get well-versed with correlations This course is ideal for individuals who are This is an application-oriented course with a practical approach. This course discusses situations in which you would use each statistical technique, the assumptions made by the method, how to set up the analysis, and how to interpret the results. No proofs will be derived, but rather the focus will be on the practical matters of data analysis in support of answering research questions. It is particularly useful for This is an application-oriented course with a practical approach. This course discusses situations in which you would use each statistical technique, the assumptions made by the method, how to set up the analysis, and how to interpret the results. No proofs will be derived, but rather the focus will be on the practical matters of data analysis in support of answering research questions.

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Summary

Title: Basic Statistics and Data Mining for Data Science

Price: $49.99

Average Rating: 4.3

Number of Lectures: 25

Number of Quizzes: 7

Number of Published Lectures: 25

Number of Published Quizzes: 7

Number of Curriculum Items: 32

Number of Published Curriculum Objects: 32

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will Learn

• Get familiar with the basics of analyzing data
• Exploring the importance of summarizing individual variables
• Use inferential statistics
• Know when to perform the Chi-Square test
• Differentiate between independent and paired samples t-tests
• Understand when to use a one-way ANOVA and post-hoc tests
• Get well-versed with correlations

Who Should Attend

• This is an application-oriented course with a practical approach. This course discusses situations in which you would use each statistical technique, the assumptions made by the method, how to set up the analysis, and how to interpret the results. No proofs will be derived, but rather the focus will be on the practical matters of data analysis in support of answering research questions.

Target Audiences

• This is an application-oriented course with a practical approach. This course discusses situations in which you would use each statistical technique, the assumptions made by the method, how to set up the analysis, and how to interpret the results. No proofs will be derived, but rather the focus will be on the practical matters of data analysis in support of answering research questions.